Interpreting Technology Hype
When new technologies make bold promises, how do you discern the hype from what's commercially viable? And when will such claims pay off, if at all? Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities. Gartner Hype Cycle methodology gives you a view of how a technology or application will evolve over time, providing a sound source of insight to manage its deployment within the context of your specific business goals.
The number of hits determines the ratings of a language. The counted hits are normalized for each search engine for all languages in the list. In other words, all languages together have a score of 100%. Let's define "hits(SE)" as the sum of the number of hits for all languages for search engine SE and "hits(PL,SE)" as the number of hits for programming language PL for search engine SE. Possible false positives for a query are already filtered out in the definition of "hits(PL,SE)". This is done by using a manually determined confidence factor per query. A query such as "Basic programming" also returns pages that contain "Improve your basic programming skills in Java". The first 100 pages per search engine are checked for possible false positives and this is used to define the confidence factor. If this factor is 90%, then only 90% of the hits are used for "hits(PL,SE)".